Angelica Liguori

Orcid: 0000-0001-9402-7375

According to our database1, Angelica Liguori authored at least 21 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Robust anomaly detection via adversarial counterfactual generation.
Knowl. Inf. Syst., December, 2024

Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems.
J. Intell. Inf. Syst., August, 2024

CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation.
CoRR, 2024

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

Siamese Networks for Unsupervised Failure Detection in Smart Industry.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores.
Soc. Netw. Anal. Min., December, 2023

Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR, 2023

Neuro-Symbolic techniques for Predictive Maintenance.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Siamese Network for Fake Item Detection.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Towards Self-Supervised Cross-Domain Fake News Detection.
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities.
Proceedings of the Italia Intelligenza Artificiale, 2023

2022
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review.
Proceedings of the Digital Sovereignty in Cyber Security: New Challenges in Future Vision, 2022

2021
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Adversarial Regularized Reconstruction for Anomaly Detection and Generation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Exploiting Temporal Convolution for Activity Prediction in Process Analytics.
Proceedings of the ECML PKDD 2020 Workshops, 2020

A Deep Learning Approach for Detecting Security Attacks on Blockchain.
Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020


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